The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-24"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "9430516 (up from 9263466 yesterday: 1.8 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "482753 (up from 477584 yesterday: 1.08 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.12



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2381493 34471 1.47 121980 752 0.62 5.12
Brazil 1188631 42725 3.73 53830 1185 2.25 4.53
Russia 606043 7165 1.20 8503 154 1.84 1.40
India 473105 16922 3.71 14894 418 2.89 3.15
United Kingdom 308337 655 0.21 43165 154 0.36 14.00
Peru 264689 3879 1.49 8586 182 2.17 3.24
Chile 254416 3649 1.46 4731 226 5.02 1.86
Spain 247086 334 0.14 28327 2 0.01 11.46
Italy 239410 577 0.24 34644 -31 -0.09 14.47
Iran 212501 2531 1.21 9996 133 1.35 4.70
France 197885 81 0.04 29734 11 0.04 15.03
Mexico 196847 5437 2.84 24324 947 4.05 12.36
Pakistan 192970 4044 2.14 3903 148 3.94 2.02
Germany 192871 391 0.20 8928 14 0.16 4.63
Turkey 191657 1492 0.78 5025 24 0.48 2.62
Saudi Arabia 167267 3123 1.90 1387 41 3.05 0.83
Bangladesh 122660 3462 2.90 1582 37 2.39 1.29
South Africa 111796 5688 5.36 2205 103 4.90 1.97
Canada 104087 320 0.31 8544 32 0.38 8.21
Qatar 90778 1199 1.34 104 5 5.05 0.11
China 84673 20 0.02 4640 0 0.00 5.48
Colombia 73760 0 0.00 2524 0 0.00 3.42
Sweden 62324 1487 2.44 5209 48 0.93 8.36
Belgium 60898 88 0.14 9722 9 0.09 15.96
Belarus 59945 458 0.77 362 5 1.40 0.60
Egypt 59561 1420 2.44 2450 85 3.59 4.11
Ecuador 51643 0 0.00 4274 0 0.00 8.28
Netherlands 50012 82 0.16 6116 2 0.03 12.23
Argentina 49851 2648 5.61 1116 38 3.53 2.24
Indonesia 49009 1113 2.32 2573 38 1.50 5.25
United Arab Emirates 46133 450 0.99 307 2 0.66 0.67
Singapore 42623 191 0.45 26 0 0.00 0.06
Kuwait 41879 846 2.06 337 3 0.90 0.80
Portugal 40104 367 0.92 1543 3 0.19 3.85
Ukraine 39852 951 2.44 1061 16 1.53 2.66
Iraq 36702 2200 6.38 1330 79 6.31 3.62
Oman 33536 1142 3.53 142 2 1.43 0.42
Poland 32821 294 0.90 1396 21 1.53 4.25
Philippines 32295 470 1.48 1204 18 1.52 3.73
Switzerland 31376 44 0.14 1958 2 0.10 6.24
Afghanistan 29640 159 0.54 639 21 3.40 2.16
Dominican Republic 28631 695 2.49 691 16 2.37 2.41
Panama 28030 716 2.62 547 11 2.05 1.95
Bolivia 27487 1098 4.16 876 30 3.55 3.19
Ireland 25396 5 0.02 1726 6 0.35 6.80
Romania 24826 321 1.31 1555 16 1.04 6.26
Bahrain 23570 508 2.20 69 2 2.99 0.29
Israel 22044 532 2.47 308 0 0.00 1.40
Nigeria 22020 649 3.04 542 9 1.69 2.46
Armenia 21717 711 3.38 386 14 3.76 1.78
Kazakhstan 19285 520 2.77 136 2 1.49 0.71
Japan 17963 84 0.47 967 2 0.21 5.38
Austria 17449 41 0.24 693 0 0.00 3.97
Moldova 15078 364 2.47 495 5 1.02 3.28
Ghana 15013 445 3.05 95 0 0.00 0.63
Guatemala 14819 279 1.92 601 19 3.26 4.06
Honduras 14571 628 4.50 417 12 2.96 2.86
Azerbaijan 14305 590 4.30 174 7 4.19 1.22
Serbia 13235 143 1.09 263 0 0.00 1.99
Denmark 12815 54 0.42 603 0 0.00 4.71
Cameroon 12592 322 2.62 313 0 0.00 2.49
Korea, South 12563 28 0.22 282 1 0.36 2.24
Algeria 12248 172 1.42 869 8 0.93 7.10
Morocco 10907 563 5.44 216 2 0.93 1.98
Czechia 10777 127 1.19 343 4 1.18 3.18
Nepal 10728 629 6.23 24 0 0.00 0.22
Sudan 8889 0 0.00 548 0 0.00 6.16
Norway 8788 16 0.18 249 1 0.40 2.83
Malaysia 8596 6 0.07 121 0 0.00 1.41
Cote d’Ivoire 8164 260 3.29 58 0 0.00 0.71
Australia 7558 37 0.49 104 1 0.97 1.38
Finland 7167 12 0.17 327 0 0.00 4.56
Uzbekistan 6990 328 4.92 19 0 0.00 0.27
Congo (Kinshasa) 6213 186 3.09 142 7 5.19 2.29
Senegal 6129 95 1.57 93 4 4.49 1.52
Tajikistan 5630 63 1.13 52 0 0.00 0.92
North Macedonia 5445 134 2.52 259 8 3.19 4.76
Haiti 5429 105 1.97 92 3 3.37 1.69
Kenya 5206 254 5.13 130 2 1.56 2.50
Guinea 5174 134 2.66 29 1 3.57 0.56
El Salvador 5150 177 3.56 119 6 5.31 2.31
Ethiopia 5034 186 3.84 78 3 4.00 1.55

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 389666 581 0.15 31257 25 0.08 8.02 20030.57 1606.75 1 in 50
California 195925 4448 2.32 5725 99 1.76 2.92 4958.59 144.89 1 in 202
New Jersey 169892 158 0.09 13076 51 0.39 7.70 19127.26 1472.16 1 in 52
Illinois 138540 715 0.52 6770 63 0.94 4.89 10932.92 534.26 1 in 91
Texas 128132 5200 4.23 2270 34 1.52 1.77 4418.97 78.29 1 in 226
Florida 109014 5511 5.32 3281 43 1.33 3.01 5075.67 152.76 1 in 197
Massachusetts 107611 172 0.16 7937 48 0.61 7.38 15484.70 1142.10 1 in 65
Pennsylvania 87685 477 0.55 6518 54 0.84 7.43 6849.33 509.14 1 in 146
Georgia 69381 1571 2.32 2698 3 0.11 3.89 6534.64 254.11 1 in 153
Michigan 68555 358 0.52 6114 5 0.08 8.92 6864.52 612.20 1 in 146
Maryland 65337 330 0.51 3108 16 0.52 4.76 10807.22 514.09 1 in 93
Arizona 60190 1812 3.10 1467 71 5.09 2.44 7904.25 192.65 1 in 127
Virginia 59514 520 0.88 1661 16 0.97 2.79 6972.51 194.60 1 in 143
North Carolina 56527 1888 3.46 1325 29 2.24 2.34 5389.64 126.33 1 in 186
Louisiana 52477 882 1.71 3152 18 0.57 6.01 11288.30 678.03 1 in 89
Ohio 46759 632 1.37 2755 20 0.73 5.89 4000.22 235.69 1 in 250
Connecticut 45913 14 0.03 4287 10 0.23 9.34 12877.79 1202.43 1 in 78
Indiana 43140 269 0.63 2578 9 0.35 5.98 6407.99 382.93 1 in 156
Tennessee 37235 932 2.57 556 14 2.58 1.49 5449.15 81.37 1 in 184
Minnesota 33763 294 0.88 1432 7 0.49 4.24 5986.74 253.92 1 in 167
Alabama 32064 967 3.11 891 27 3.12 2.78 6539.42 181.72 1 in 153
Colorado 31139 262 0.85 1667 2 0.12 5.35 5407.26 289.47 1 in 185
Washington 29869 483 1.64 1293 9 0.70 4.33 3922.45 169.80 1 in 255
South Carolina 27897 1325 4.99 683 10 1.49 2.45 5418.25 132.65 1 in 185
Iowa 26601 132 0.50 690 1 0.15 2.59 8431.19 218.70 1 in 119
Wisconsin 25763 432 1.71 757 7 0.93 2.94 4424.78 130.01 1 in 226
Mississippi 23424 526 2.30 1011 22 2.22 4.32 7870.57 339.70 1 in 127
Missouri 19123 118 0.62 985 9 0.92 5.15 3115.80 160.49 1 in 321
Utah 18784 484 2.64 163 0 0.00 0.87 5859.09 50.84 1 in 171
Nebraska 18221 122 0.67 257 1 0.39 1.41 9419.42 132.86 1 in 106
Arkansas 17375 697 4.18 240 3 1.27 1.38 5757.46 79.53 1 in 174
Rhode Island 16606 73 0.44 912 6 0.66 5.49 15675.49 860.90 1 in 64
Kentucky 14363 222 1.57 538 1 0.19 3.75 3214.87 120.42 1 in 311
Nevada 13528 0 0.00 489 0 0.00 3.61 4391.99 158.76 1 in 228
Kansas 12930 393 3.13 260 0 0.00 2.01 4438.24 89.25 1 in 225
Oklahoma 11510 479 4.34 372 1 0.27 3.23 2908.79 94.01 1 in 344
New Mexico 10990 152 1.40 480 4 0.84 4.37 5241.25 228.92 1 in 191
Delaware 10889 42 0.39 505 1 0.20 4.64 11182.38 518.61 1 in 89
District of Columbia 10128 34 0.34 541 4 0.74 5.34 14350.71 766.56 1 in 70
Oregon 7444 170 2.34 195 3 1.56 2.62 1764.93 46.23 1 in 567
Puerto Rico 6820 135 2.02 149 0 0.00 2.18 2135.46 46.65 1 in 468
South Dakota 6419 66 1.04 84 1 1.20 1.31 7255.90 94.95 1 in 138
New Hampshire 5598 27 0.48 347 4 1.17 6.20 4117.05 255.20 1 in 243
Idaho 4402 148 3.48 89 0 0.00 2.02 2456.38 49.66 1 in 407
North Dakota 3362 42 1.27 78 0 0.00 2.32 4411.71 102.35 1 in 227
Maine 3017 21 0.70 103 1 0.98 3.41 2244.44 76.62 1 in 446
West Virginia 2631 38 1.47 92 0 0.00 3.50 1472.18 51.48 1 in 679
Wyoming 1282 28 2.23 20 0 0.00 1.56 2215.08 34.56 1 in 451
Vermont 1184 20 1.72 56 0 0.00 4.73 1897.47 89.75 1 in 527
Hawaii 835 16 1.95 17 0 0.00 2.04 589.74 12.01 1 in 1696
Alaska 789 29 3.82 12 0 0.00 1.52 1078.54 16.40 1 in 927
Montana 766 23 3.10 21 0 0.00 2.74 716.71 19.65 1 in 1395

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3551952 389666 10.97 182586.21
California 3592899 195925 5.45 90931.33
New Jersey 1299645 169892 13.07 146320.33
Illinois 1429841 138540 9.69 112836.27
Texas 1630258 128132 7.86 56223.78
Florida 1668342 109014 6.53 77677.74
Massachusetts 795072 107611 13.53 114407.03
Pennsylvania 691408 87685 12.68 54007.86
Georgia 743234 69381 9.34 70001.36
Michigan 944805 68555 7.26 94604.84
Maryland 490457 65337 13.32 81125.20
Arizona 449188 60190 13.40 58988.09
Virginia 576571 59514 10.32 67549.61
North Carolina 791285 56527 7.14 75446.10
Louisiana 648505 52477 8.09 139499.62
Ohio 680687 46759 6.87 58232.63
Connecticut 402350 45913 11.41 112852.06
Indiana 431883 43140 9.99 64151.66
Tennessee 718304 37235 5.18 105120.11
Minnesota 529643 33763 6.37 93914.46
Alabama 358759 32064 8.94 73168.56
Colorado 290834 31139 10.71 50503.10
Washington 487059 29869 6.13 63961.37
South Carolina 318208 27897 8.77 61803.39
Iowa 269959 26601 9.85 85563.55
Wisconsin 513566 25763 5.02 88204.69
Mississippi 261661 23424 8.95 87919.32
Missouri 327024 19123 5.85 53283.56
Utah 304738 18784 6.16 95053.65
Nebraska 161301 18221 11.30 83385.20
Arkansas 271866 17375 6.39 90086.73
Rhode Island 224993 16606 7.38 212385.58
Kentucky 335702 14363 4.28 75140.24
Nevada 252387 13528 5.36 81939.68
Kansas 161705 12930 8.00 55505.52
Oklahoma 298278 11510 3.86 75380.39
New Mexico 302083 10990 3.64 144066.59
Delaware 98201 10889 11.09 100846.82
District of Columbia 84173 10128 12.03 119267.61
Oregon 214008 7444 3.48 50740.01
Puerto Rico 6820 6820 100.00 2135.46
South Dakota 75077 6419 8.55 84865.47
New Hampshire 110053 5598 5.09 80938.52
Idaho 77835 4402 5.66 43433.13
North Dakota 98689 3362 3.41 129502.59
Maine 85190 3017 3.54 63375.42
West Virginia 157048 2631 1.68 87876.38
Wyoming 30148 1282 4.25 52090.77
Vermont 59860 1184 1.98 95931.18
Hawaii 70539 835 1.18 49820.18
Alaska 96096 789 0.82 131360.34
Montana 75066 766 1.02 70235.35

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 147741 4842 3.39 77453 52.42 63342 6931 192 2.85 4.69
Delhi 73780 3390 4.82 44765 60.67 26586 2429 64 2.71 3.29
Tamil Nadu 70977 3509 5.20 39999 56.35 30067 911 45 5.20 1.28
Gujarat 29578 577 1.99 21506 72.71 6318 1754 18 1.04 5.93
Uttar Pradesh 20193 636 3.25 13119 64.97 6463 611 15 2.52 3.03
Rajasthan 16296 287 1.79 12840 78.79 3077 379 4 1.07 2.33
West Bengal 15648 475 3.13 10190 65.12 4852 606 15 2.54 3.87
Madhya Pradesh 12595 147 1.18 9619 76.37 2434 542 8 1.50 4.30
Haryana 12463 453 3.77 7380 59.22 4885 198 10 5.32 1.59
Telangana 11364 920 8.81 4688 41.25 6446 230 5 2.22 2.02
Andhra Pradesh 10884 553 5.35 4988 45.83 5760 136 7 5.43 1.25
Karnataka 10560 442 4.37 6672 63.18 3714 170 6 3.66 1.61
State Unassigned 8493 0 0.00 0 0.00 8493 0 0 NaN 0.00
Bihar 8488 215 2.60 6480 76.34 1952 56 1 1.82 0.66
Jammu and Kashmir 6549 127 1.98 3967 60.57 2492 90 2 2.27 1.37
Assam 6371 88 1.40 4034 63.32 2325 9 0 0.00 0.14
Odisha 5962 210 3.65 4291 71.97 1647 24 0 0.00 0.40
Punjab 4769 142 3.07 3192 66.93 1457 120 7 6.19 2.52
Kerala 3727 123 3.41 1941 52.08 1761 23 0 0.00 0.62
Uttarakhand 2691 68 2.59 1758 65.33 880 36 1 2.86 1.34
Chhattisgarh 2456 37 1.53 1729 70.40 715 12 0 0.00 0.49
Jharkhand 2261 42 1.89 1605 70.99 644 12 0 0.00 0.53
Tripura 1295 32 2.53 904 69.81 390 1 0 0.00 0.08
Manipur 1056 86 8.87 354 33.52 702 0 0 NaN 0.00
Goa 995 44 4.63 335 33.67 658 2 0 0.00 0.20
Ladakh 932 0 0.00 358 38.41 573 1 0 0.00 0.11
Himachal Pradesh 839 33 4.09 474 56.50 344 8 1 14.29 0.95
Puducherry 502 41 8.89 187 37.25 306 9 0 0.00 1.79
Chandigarh 423 3 0.71 329 77.78 88 6 0 0.00 1.42
Nagaland 355 0 0.00 160 45.07 195 0 0 NaN 0.00
Arunachal Pradesh 160 0 0.00 38 23.75 121 1 0 0.00 0.62
Dadra and Nagar Haveli and Daman and Diu 145 11 8.21 32 22.07 112 0 0 NaN 0.00
Mizoram 145 0 0.00 30 20.69 115 0 0 NaN 0.00
Sikkim 83 0 0.00 39 46.99 44 0 0 NaN 0.00
Andaman and Nicobar Islands 58 2 3.57 41 70.69 17 0 0 NaN 0.00
Meghalaya 46 0 0.00 41 89.13 4 1 0 0.00 2.17
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 980820 93261 88 0.09 9.51 692 48 12227 16586 17.78
Piemonte 398623 31276 22 0.07 7.85 334 18 1730 4066 13.00
Emilia-Romagna 466612 28304 44 0.16 6.07 117 12 1074 4245 15.00
Veneto 897506 19253 3 0.02 2.15 26 1 549 2004 10.41
Toscana 320799 10222 5 0.05 3.19 26 5 330 1101 10.77
Liguria 139910 9940 1 0.01 7.10 59 1 261 1555 15.64
Lazio 324492 8039 6 0.07 2.48 181 13 869 833 10.36
Marche 131622 6779 4 0.06 5.15 12 0 471 994 14.66
P.A. Trento 114496 4852 0 0.00 4.24 0 0 52 405 8.35
Campania 269477 4645 11 0.24 1.72 35 0 148 431 9.28
Puglia 168388 4529 0 0.00 2.69 29 0 177 543 11.99
Friuli Venezia Giulia 178733 3305 0 0.00 1.85 13 0 57 344 10.41
Abruzzo 100918 3283 1 0.03 3.25 41 2 378 461 14.04
Sicilia 197279 3074 1 0.03 1.56 17 5 132 280 9.11
P.A. Bolzano 81017 2634 1 0.04 3.25 3 1 90 292 11.09
Umbria 90838 1439 1 0.07 1.58 3 1 11 79 5.49
Sardegna 78449 1361 1 0.07 1.73 7 0 15 132 9.70
Valle d’Aosta 17700 1194 1 0.08 6.75 3 0 6 146 12.23
Calabria 90262 1175 0 0.00 1.30 9 0 28 97 8.26
Molise 21265 444 0 0.00 2.09 2 0 43 23 5.18
Basilicata 37887 401 0 0.00 1.06 1 0 7 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54937 53 0.10 5441 17 0.31 9.90 6434.66 637.29 1 in 155
Ontario 35861 204 0.57 2690 14 0.52 7.50 2437.56 182.85 1 in 410
Alberta 7825 44 0.57 153 0 0.00 1.96 1773.11 34.67 1 in 564
British Columbia 2849 14 0.49 171 1 0.59 6.00 557.43 33.46 1 in 1794
Nova Scotia 1061 0 0.00 63 0 0.00 5.94 1085.47 64.45 1 in 921
Saskatchewan 757 4 0.53 13 0 0.00 1.72 640.62 11.00 1 in 1561
Manitoba 315 1 0.32 7 0 0.00 2.22 228.67 5.08 1 in 4373
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1635 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1179 6 0.51
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 863 9 1.04
Shandong 792 7 0.88
Shanghai 703 7 1.00
Jiangsu 654 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 319 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Gansu 161 2 1.24
Jilin 155 2 1.29
Liaoning 154 2 1.30
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 7278.40 372.80 1 in 137
Brazil 5679.08 257.19 1 in 176
Russia 4194.07 58.84 1 in 238
India 353.33 11.12 1 in 2830
United Kingdom 4640.83 649.68 1 in 215
Peru 8227.82 266.89 1 in 122
Chile 14095.07 262.11 1 in 71
Spain 5295.46 607.09 1 in 189
Italy 3958.50 572.82 1 in 253
Iran 2618.30 123.16 1 in 382
France 2953.95 443.86 1 in 339
Mexico 1523.58 188.27 1 in 656
Pakistan 979.54 19.81 1 in 1021
Germany 2329.64 107.84 1 in 429
Turkey 2371.70 62.18 1 in 422
Saudi Arabia 5077.93 42.11 1 in 197
Bangladesh NA NA 1 in NA
South Africa 1971.02 38.88 1 in 507
Canada 2769.01 227.29 1 in 361
Qatar 34398.64 39.41 1 in 29

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 213348 22365 10.48
Los Angeles California 89633 3207 3.58
Cook Illinois 88138 4478 5.08
Nassau New York 41585 2180 5.24
Suffolk New York 41101 1972 4.80
Maricopa Arizona 34992 690 1.97
Westchester New York 34597 1416 4.09
Miami-Dade Florida 27779 926 3.33
Harris Texas 25786 346 1.34
Philadelphia Pennsylvania 25443 1576 6.19
Middlesex Massachusetts 23697 1820 7.68
Wayne Michigan 22324 2693 12.06
Suffolk Massachusetts 19628 984 5.01
Hudson New Jersey 19333 1316 6.81
Bergen New Jersey 19097 1714 8.98
Essex New Jersey 18617 1764 9.48
Prince George’s Maryland 18151 662 3.65
Dallas Texas 18135 328 1.81
Passaic New Jersey 16788 1025 6.11
Middlesex New Jersey 16640 1107 6.65
Fairfield Connecticut 16527 1370 8.29
Union New Jersey 16330 1140 6.98
Essex Massachusetts 15920 1083 6.80
Riverside California 14905 432 2.90
Montgomery Maryland 14283 728 5.10
Fairfax Virginia 13588 450 3.31
Rockland New York 13534 667 4.93
Providence Rhode Island 12712 0 0.00
New Haven Connecticut 12227 1066 8.72
Broward Florida 12217 378 3.09
Worcester Massachusetts 12207 914 7.49
Oakland Michigan 11805 1081 9.16
San Diego California 11626 347 2.98
Palm Beach Florida 11536 482 4.18
Hartford Connecticut 11450 1356 11.84
Hennepin Minnesota 11057 752 6.80
Orange California 11016 299 2.71
Marion Indiana 10996 673 6.12
Clark Nevada 10774 400 3.71
Orange New York 10669 473 4.43
Milwaukee Wisconsin 10544 377 3.58
San Bernardino California 10407 245 2.35
District of Columbia District of Columbia 10128 541 5.34
Ocean New Jersey 9486 866 9.13
Salt Lake Utah 9460 105 1.11
King Washington 9453 604 6.39
Lake Illinois 9447 409 4.33
Tarrant Texas 9386 211 2.25
Mecklenburg North Carolina 9333 143 1.53
Norfolk Massachusetts 9056 923 10.19

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc